Evidence map›Paper›PMID 35113201›Full record

ArticleJournal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology2022

Properties of an attention-grabbing motion signal: a comparison of tail and body movements in a lizard.

Richard A Peters, Jose Ramos

Abstract read
In one paragraph

Article in Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Richard A PetersAnimal Behaviour Group, Department of Ecology, Environment and Evolution, La Trobe University, Bundoora, VIC, 3086, Australia. richard.peters@latrobe.edu.au.ORCID http://orcid.org/0000-0002-5825-3591
Jose RamosAnimal Behaviour Group, Department of Ecology, Environment and Evolution, La Trobe University, Bundoora, VIC, 3086, Australia.ORCID http://orcid.org/0000-0002-7653-6683

Funding

Australian Research Council DP170102370
6 · The paper itself

Abstract

Animals signals must be detected by receiver sensory systems, and overcome a variety of local ecological factors that could otherwise affect their transmission and reception. Habitat structure, competition, avoidance of unintended receivers and varying environmental conditions have all been shown to influence how animals signal. Environmental noise is also crucial, and animals modify their behavior in response to it. Animals generating movement-based visual signals have to contend with wind-blown plants that generate motion noise and can affect the detection of salient movements. The lizard Amphibolurus muricatus uses tail flicking at the start of displays to attract attention, and we hypothesized that tail movements are ideally suited to this function. We compared visual amplitudes generated by tail movements with push-ups, which are a key component of the rest of the display. We show that tail movement amplitudes are highly variable over the course of the display but consistently greater than amplitudes generated by push-ups and not constrained by viewing position. We suggest that these features, combined with the tail being a light structure that does not compromise other activities, provide an ideal introductory component for attracting attention in the ecological setting in which they are generated.

Indexed as

LizardsMotion PerceptionAnimal CommunicationAnimalsAttentionMotionTail3D reconstructionLizardMotion signalPlant motionVisual amplitude

Identifiers

PMID35113201
PMCPMC9123084

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.